James, Paul D.; Polhemus, Neil W. (1990, ASQC) Statistical Graphics Corporation, Princeton, NJ
Statistical quality control means more than just Shewhart control charts. Yet many statistical data analysis techniques are not widely used, largely because of their cumbersome numerical methodology. In recent years, a variety of powerful graphical methods for studying data have been developed. These methods are easier to understand and represent an opportunity for increasing the use of statistics as a tool for both quality control and improvement.
Beginning with pencil and paper methods for summarizing data, this tutorial presents a survey of techniques included in a forthcoming volume in the ASQC Statistics Division "How to" series. Among the tools discussed here are easy to use graphical displays that reveal the dynamic features of data collected over time, compare several groups of data, and describe relationships between product and process characteristics.